In this problem we show which airlines were responsible for at least 1% of the flights departing any of the three NYC airports between January 1 and October 31, 2013. The results are shown in the following tables.
NYC Flights Jan1 - Oct31, 2013 Proportions per Airline representing more than 1% of total flights in NYC.
Airline
Flights Per Airline
Proportion of Total Flights (%)
AirTran Airways Corporation
2845
1.01
American Airlines Inc.
27447
9.75
Delta Air Lines Inc.
40168
14.30
Endeavor Air Inc.
15232
5.41
Envoy Air
22202
7.89
ExpressJet Airlines Inc.
45395
16.10
JetBlue Airways
45605
16.20
Southwest Airlines Co.
10143
3.60
United Air Lines Inc.
48880
17.40
US Airways Inc.
17232
6.12
Virgin America
4235
1.51
Part B
Here we compare the number and percent of annual flights using the airlines from Part A, but in year 2014 instead.
2013 Flights: We start by summarizing the same data from Part A, but now we include CIs for each point estimate.
Airline
# Flights 2013
(%) 2013
95% CI
AirTran Airways Corporation
2845
1.01
[0.974, 1.05]
American Airlines Inc.
27447
9.75
[9.65, 9.86]
Delta Air Lines Inc.
40168
14.30
[14.1, 14.4]
Envoy Air
22202
7.89
[7.79, 7.99]
ExpressJet Airlines Inc.
45395
16.10
[16, 16.3]
JetBlue Airways
45605
16.20
[16.1, 16.3]
Southwest Airlines Co.
10143
3.60
[3.54, 3.67]
United Air Lines Inc.
48880
17.40
[17.2, 17.5]
US Airways Inc.
17232
6.12
[6.04, 6.21]
Virgin America
4235
1.51
[1.46, 1.55]
2014 Flights
Airline
# Flights 2014
(%) 2014
95% CI
AirTran Airways Corporation
1251
0.494
[0.467, 0.521]
American Airlines Inc.
26302
10.400
[10.3, 10.5]
Delta Air Lines Inc.
41683
16.500
[16.3, 16.6]
Envoy Air
18559
7.330
[7.22, 7.43]
ExpressJet Airlines Inc.
39819
15.700
[15.6, 15.9]
JetBlue Airways
44479
17.600
[17.4, 17.7]
Southwest Airlines Co.
11902
4.700
[4.62, 4.78]
United Air Lines Inc.
46267
18.300
[18.1, 18.4]
US Airways Inc.
16750
6.610
[6.52, 6.71]
Virgin America
4797
1.890
[1.84, 1.95]
Percent Changes from 2013 to 2014
Airline
(%) Change
CI on (%) Change
AirTran Airways Corporation
-0.517
[-0.563, -0.471]
American Airlines Inc.
0.628
[0.467, 0.79]
Delta Air Lines Inc.
2.180
[1.99, 2.37]
Envoy Air
-0.564
[-0.706, -0.422]
ExpressJet Airlines Inc.
-0.414
[-0.611, -0.218]
JetBlue Airways
1.350
[1.15, 1.55]
Southwest Airlines Co.
1.090
[0.986, 1.2]
United Air Lines Inc.
0.893
[0.687, 1.1]
US Airways Inc.
0.488
[0.357, 0.619]
Virgin America
0.389
[0.319, 0.458]
The Flights with the Largest Percent Increase and Decrease from 2013 to 2014 are shown on the table below.
Airlines with Largest Increase and Decrease: First Row shows Largest Increase. Second row shows Largest Decrease. Rows are sorted alphabetically.
Airline
(%) Change
Delta Air Lines Inc.
2.180
Envoy Air
-0.564
We notice that some airlines show an increase in the percent of flights, even though their number of flights decreased. Take United Airlines Inc for example. They had 48,880 flights in 2013 and 46,267 flights in 2014. The main reason being that 2014 had less total flights than the total flights in 2013.
Part C
Now we show the percent flights of all three airports for each airline from Part A. Each table summary of the airports is followed by another table showing the carrier at that airport with the largest percent of flights.
Newark Liberty International Airport (EWR) This table shows the percent flights the airlines represented for each airport and we provide Confidence Intervals of the percent estimates.
Airline
(%)
95% CI
AirTran Airways Corporation
0.00
[0, 0]
American Airlines Inc.
2.89
[2.79, 2.98]
Delta Air Lines Inc.
3.59
[3.49, 3.7]
Endeavor Air Inc.
1.05
[0.992, 1.11]
Envoy Air
1.88
[1.81, 1.96]
ExpressJet Airlines Inc.
36.40
[36.1, 36.6]
JetBlue Airways
5.43
[5.3, 5.55]
Southwest Airlines Co.
5.12
[5, 5.25]
United Air Lines Inc.
38.10
[37.9, 38.4]
US Airways Inc.
3.65
[3.54, 3.75]
Virgin America
1.30
[1.23, 1.36]
Largest Carrier at Newark Liberty International Airport (EWR)
Airline
(%)
95% CI
United Air Lines Inc.
38.1
[37.9, 38.4]
John F. Kennedy International Airport (JFK) This table shows the percent flights the airlines represented for each airport and we provide Confidence Intervals of the percent estimates.
Airline
(%)
95% CI
AirTran Airways Corporation
0.00
[0, 0]
American Airlines Inc.
12.40
[12.2, 12.6]
Delta Air Lines Inc.
18.60
[18.4, 18.8]
Endeavor Air Inc.
13.20
[13, 13.4]
Envoy Air
6.46
[6.32, 6.61]
ExpressJet Airlines Inc.
1.27
[1.2, 1.33]
JetBlue Airways
37.80
[37.5, 38.1]
Southwest Airlines Co.
0.00
[0, 0]
United Air Lines Inc.
4.07
[3.96, 4.19]
US Airways Inc.
2.69
[2.6, 2.79]
Virgin America
3.23
[3.13, 3.34]
Largest Carrier at John F. Kennedy International Airport (JFK)
Airline
(%)
95% CI
JetBlue Airways
37.8
[37.5, 38.1]
LaGuardia Airport (LGA) This table shows the percent flights the airlines represented for each airport and we provide Confidence Intervals of the percent estimates.
Airline
(%)
95% CI
AirTran Airways Corporation
3.11
[3.01, 3.22]
American Airlines Inc.
14.80
[14.6, 15]
Delta Air Lines Inc.
22.00
[21.8, 22.3]
Endeavor Air Inc.
2.43
[2.33, 2.52]
Envoy Air
16.20
[16, 16.4]
ExpressJet Airlines Inc.
8.43
[8.26, 8.6]
JetBlue Airways
5.73
[5.59, 5.88]
Southwest Airlines Co.
5.82
[5.67, 5.96]
United Air Lines Inc.
7.69
[7.52, 7.85]
US Airways Inc.
12.60
[12.4, 12.8]
Virgin America
0.00
[0, 0]
Largest Carrier at LaGuardia Airport (LGA)
Airline
(%)
95% CI
Delta Air Lines Inc.
22
[21.8, 22.3]
Question 3:
Part A
Using the RECS 2015 data, first we compute the percent of homes that have stucco construction as their major outside wall material within each division. We compute (RSEs) using the procedure provided in the RECS 2015 documentation.
Percent of Stucco Wall Users per Division For each division we include the percentage of Homes in that division that have Stucco construction as main wall material. We also include Standard Errors and Confidence Intervals of each estimate.
Division
(%) Stucco
Std Error
95% CI
East North Central
0.657
0.283
[0.101, 1.21]
East South Central
0.423
0.409
[-0.379, 1.22]
Middle Atlantic
2.060
0.734
[0.622, 3.5]
Mountain North
16.600
3.240
[10.2, 23]
Mountain South
64.200
4.490
[55.4, 73]
New England
1.230
0.801
[-0.343, 2.8]
Pacific
44.600
1.690
[41.3, 47.9]
South Atlantic
10.600
1.420
[7.83, 13.4]
West North Central
4.870
2.030
[0.891, 8.84]
West South Central
2.990
0.694
[1.63, 4.35]
Part B
Now we show average total electricity usage in kilowatt hours per division. We illustrate our results in the table below and also graphically with a bar chart.
Average Total Electricity Usage in Kilowatt hours Per Division For each division we include the Average total KWH used. We also include Standard Errors and Confidence Intervals of each estimate.
Division
Average KWH
Std Error
95% CI
East North Central
9129
203.6
[8730, 9528]
East South Central
14540
620.6
[13320, 15750]
Middle Atlantic
8465
201.1
[8071, 8860]
Mountain North
8384
644.4
[7121, 9648]
Mountain South
10440
1271.0
[7950, 12930]
New England
7515
532.0
[6472, 8557]
Pacific
8100
178.6
[7750, 8450]
South Atlantic
13450
276.9
[12900, 13990]
West North Central
10520
453.6
[9635, 11410]
West South Central
14320
423.0
[13500, 15150]
From the bar chart above, East South Central has the highest average total electricity usage. Next, we would like to compute average total electricity usage stratified by urban and rural status.
Average Total Electricity Usage in Kilowatt hours Per Division by Urban and Rural Status: For each division we include the Average total KWH used in the Urban and Rural categories. We include Standard Errors and Confidence Intervals of each estimate.
Division
Urban/Rural
Average KWH
Std Error
95% CI
East North Central
Rural
13500
754.3
[12020, 14980]
East North Central
Urban
7776
254.6
[7277, 8275]
East South Central
Rural
16330
1146.0
[14090, 18580]
East South Central
Urban
14170
1039.0
[12130, 16200]
Middle Atlantic
Rural
12220
811.4
[10630, 13810]
Middle Atlantic
Urban
7788
214.8
[7367, 8209]
Mountain North
Rural
9356
1866.0
[5698, 13010]
Mountain North
Urban
8144
361.4
[7435, 8852]
Mountain South
Rural
8610
1058.0
[6536, 10680]
Mountain South
Urban
10670
1305.0
[8112, 13230]
New England
Rural
9001
1140.0
[6766, 11240]
New England
Urban
7627
549.6
[6549, 8704]
Pacific
Rural
14110
1079.0
[12000, 16230]
Pacific
Urban
7050
314.4
[6433, 7666]
South Atlantic
Rural
15940
563.0
[14840, 17050]
South Atlantic
Urban
12830
361.4
[12120, 13530]
West North Central
Rural
14170
798.8
[12610, 15740]
West North Central
Urban
9320
540.3
[8261, 10380]
West South Central
Rural
16320
1148.0
[14070, 18570]
West South Central
Urban
14060
459.5
[13160, 14960]
Part C
Here we show percents of Internet Users by Division and by Urban and Rural Status. We illustrate our results in the table below and also graphically with a bar chart. The goal is to identify the division with the largest disparity between Urban and Rural percentages of Internet Users.
Percentage of Internet Users by Division and by Urban and Rural Status: For each division we include the percent of homes that use internet in the Urban and Rural categories. We include Standard Errors and Confidence Intervals of each estimate.
Division
Urban/Rural
(%) Internet
Std Error
95% CI
East North Central
Rural
86.2
2.33
[81.6, 90.8]
East North Central
Urban
86.2
1.51
[83.2, 89.1]
East South Central
Rural
69.0
2.82
[63.5, 74.6]
East South Central
Urban
79.5
5.52
[68.7, 90.3]
Middle Atlantic
Rural
91.3
3.05
[85.3, 97.3]
Middle Atlantic
Urban
89.7
2.86
[84.1, 95.3]
Mountain North
Rural
81.9
4.14
[73.8, 90]
Mountain North
Urban
87.3
2.77
[81.9, 92.7]
Mountain South
Rural
66.7
4.33
[58.3, 75.2]
Mountain South
Urban
85.1
2.15
[80.8, 89.3]
New England
Rural
85.8
1.75
[82.4, 89.2]
New England
Urban
90.6
1.90
[86.9, 94.3]
Pacific
Rural
85.3
4.00
[77.4, 93.1]
Pacific
Urban
89.1
1.36
[86.4, 91.7]
South Atlantic
Rural
82.0
2.94
[76.3, 87.8]
South Atlantic
Urban
87.1
1.64
[83.9, 90.4]
West North Central
Rural
80.3
4.51
[71.5, 89.2]
West North Central
Urban
87.0
2.02
[83.1, 91]
West South Central
Rural
76.5
2.23
[72.1, 80.9]
West South Central
Urban
84.6
3.06
[78.6, 90.6]
In the table below, we show the division with the largest absolute difference between Urban and Rural percentage. Mountain South has the largest disparity between percent of Urban and Rural Internet Users.
Division with Largest Disparity between Urban and Rural Percent of Internet users